Data Scientist with experience in predictive modeling, data analysis, dashboard development, and data engineering. Skilled in Python, R, SQL, DAX, Azure, GCP, Tableau, Power BI, and machine learning techniques, with expe…
Data Scientist with experience in predictive modeling, data analysis, dashboard development, and data engineering. Skilled in Python, R, SQL, DAX, Azure, GCP, Tableau, Power BI, and machine learning techniques, with experience across data cleansing, ETL, pipelines, and statistical methods.
• Conceptualize, design, build and deploy precise and accurate predictive data models on top of the
existing transactional data repositories.
• Identify trends and business opportunities in the area using descriptive analytics and complex data
analysis (root cause deep dives, correlations, regressions, simulations)
• Support GBS and GPO organizations with analytical expertise.
• Cleanse and combine data from structured and unstructured sources to derive meaningful insights.
• Help Process specialists/champions / CI Managers and RPA team identify and estimate process
improvement opportunities through predictive analysis.
• Collaborate with the dashboard development team to visualize the analysis.
• Run ad-hoc analyses on requests.
Conceptualize, design, build and deploy precise and accurate predictive data models on top of the existing transactional data repositories.
Identify trends and business opportunities in the area using descriptive analytics and complex data analysis (root cause deep dives, correlations, regressions, simulations).
Support GBS and GPO organizations with analytical expertise.
Cleanse and combine data from structured and unstructured sources to derive meaningful insights.
Help Process specialists/champions / CI Managers and RPA team identify and estimate process improvement opportunities through predictive analysis.
Collaborate with the dashboard development team to visualize the analysis.
Run ad-hoc analyses on requests.
Led the NoSQL database creation project and built Pipelines in Azure.
Developed 85% custom Microsoft Power BI dashboards, visualizations, and interfaces with Microsoft SSRS to deliver meaningful and actionable insights.
Constructed and implemented Prediction Models using Gradient Descent, Random Forest Regression, SVM, and Linear Regression techniques.
Aggregated unstructured data from multiple sources & performed R&D to create a Statistical Model.
Orchestrated action plans to mitigate risks in decision-making while increasing profitability by leveraging data science.
Optimized the workflow & finance by performing analysis for Global, Local, and R&D Sectors.
Furthered customer satisfaction through feedback analysis by 6% with NLP.
Lead the Database Clean-up based on Services in demand with Tableau and Power BI.
Pinpointed improvement with Throughput time for service request completion with Python.
Automated service requests from the customer end using the K-NN Classification technique.
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